RADAR, a leader in RFID-based inventory tracking, has launched RADAR+, an advanced AI analytics platform designed to transform retail store operations. By leveraging AI and machine learning, RADAR+ delivers real-time store intelligence, enabling retailers to optimize inventory, enhance workflows, and elevate customer experiences with unprecedented precision.
RADAR+ uses AI to provide real-time SKU-level store intelligence.
Tracks product movements, fitting room usage, and sales conversions.
Offers real-time replenishment recommendations to prioritize restocking.
Alerts staff to misplaced items, reducing lost sales.
Provides hourly metrics on dwell time, availability, and replenishment.
Helps retailers operate with leaner inventories, minimizing stock issues.
RADAR+ builds on RADAR’s core RFID technology, which tracks in-store inventory with 99% accuracy. “In the world of retail, physical stores have historically been a data desert,” said Glenn Burwell, VP of Product and Customer Experience at RADAR. “By leveraging AI and machine learning to power advanced analytics, RADAR+ is taking retail into a new era.” The platform provides real-time visibility into store operations, offering insights at the SKU level, from fitting room activity to sales conversions, helping retailers maximize efficiency and profitability.
RADAR+ enables retailers to track product movements, detect phantom inventory, and identify misplaced items, such as those left in fitting rooms. The platform delivers real-time replenishment recommendations, ensuring fast-selling items are prioritized for restocking. It also sends alerts when products are out of place, minimizing lost sales. “RADAR+ lets retailers see the placement and movement of every single item in every store—in real time—so they can maximize sales and profitability,” said Eric Mogil, Chief Growth Officer at RADAR.
Beyond in-store operations, RADAR+ provides corporate teams with hourly updates on key metrics, including customer dwell time, on-floor merchandise availability, and product recovery times. These insights enable data-driven decisions for inventory planning, merchandising, and distribution, helping retailers operate with leaner inventories while reducing overstocks, stockouts, and shrinkage. The platform’s analytics align physical store visibility with e-commerce-level precision, addressing the evolving role of stores as fulfillment centers for online and buy-online-pick-up-in-store orders.
The RADAR+ launch marks the start of a broader rollout of advanced features. Planned updates include consideration data analytics to reveal which products customers view together and suggest alternatives for unavailable items. Future integrations will combine store team feedback with machine learning for deeper data intelligence, further enhancing operational efficiency and customer engagement.
RADAR+ positions retailers to thrive in a competitive landscape by digitizing store operations and delivering actionable insights. With its AI-driven approach, the platform empowers brands to streamline workflows, reduce costs, and provide superior customer experiences, setting a new standard for retail innovation.
RADAR offers a proprietary hardware and software AI-platform that uses RFID and computer vision to turn physical stores into the equivalent of websites. The technology enables retailers to measure everything that happens inside their stores for the first time, including real-time inventory levels, helping eliminate consumer pain points like out-of-stocks and products that have to be retrieved from the stockroom. RADAR’s technology currently powers inventory optimization in more than 650 retail stores in the US and Canada.
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